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<a href="regular__tile__iterator__tensor__op_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *       conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *       permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="regular__tile__iterator_8h.html">cutlass/transform/threadblock/regular_tile_iterator.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="regular__tile__access__iterator__tensor__op_8h.html">cutlass/transform/threadblock/regular_tile_access_iterator_tensor_op.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword">namespace </span>transform {</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">namespace </span>threadblock {</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Shape_, <span class="keyword">typename</span> Element_, <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;          <span class="keyword">typename</span> ThreadMap_, <span class="keywordtype">int</span> Alignment&gt;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html">   51</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    Shape_, Element_,</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    layout::TensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value,</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                                          int(128 / sizeof(Element_))&gt;,</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1, </div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="stringliteral">&quot;Specialization for pitch-linear iterator may along advance along the &quot;</span></div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="stringliteral">&quot;contiguous(rank=0) or strided(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#aeb76f211817868736e8815eb6f7012b2">   62</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#aeb76f211817868736e8815eb6f7012b2">Shape</a> = Shape_;</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a06cccd91595b54e68f5b165476f8af06">   63</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a06cccd91595b54e68f5b165476f8af06">Element</a> = Element_;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">Layout</a> =</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">layout::TensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a6e717e77e6e781c76b0c47bbe09c8098">   66</a></span>&#160;                                            int(128 / <span class="keyword">sizeof</span>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a06cccd91595b54e68f5b165476f8af06">Element</a>))&gt;;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a983df29486b4b738b26109a6f0fb1def">   67</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a08056bca3bc22da63b5406e780edd35f">   68</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAlignment = Alignment;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#af29174087c689128e79bff5b56efb8a2">   70</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#af29174087c689128e79bff5b56efb8a2">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html#ab498476001a090017735113863e28898">Layout::Index</a>;</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a5fb0596afba74c34a41db45b7792e38a">   71</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a5fb0596afba74c34a41db45b7792e38a">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html#aa04ef0da8d8a859c2b7bb08cb3752d3d">Layout::LongIndex</a>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a0f04df35bd638f7d16ad65850bc621b7">   73</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a350da2a35cbb6b11479bd0154210aed1">   74</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a350da2a35cbb6b11479bd0154210aed1">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a19e7da9a08c706739a51d2a887cb3dea">   76</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a19e7da9a08c706739a51d2a887cb3dea">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_052caec9d5bceeb59b9a13cb3338ce64d.html">   79</a></span>&#160;  <span class="keyword">struct </span>Detail {</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_052caec9d5bceeb59b9a13cb3338ce64d.html#ab5ed9dfd3b28a68e629686369e7d2db2">   82</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAccessSizeInBits = 128;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a> * ThreadMap::kElementsPerAccess == kAccessSizeInBits,</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;      <span class="stringliteral">&quot;This iterator requires a policy whose access size is 128bs&quot;</span>);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  };</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keyword">using</span> AccessType = Array&lt;Element, Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ad819cfb30d80acbf10a40c6bcee257e4">   97</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ad819cfb30d80acbf10a40c6bcee257e4">Fragment</a> = Array&lt;Element, ThreadMap::Iterations::kCount * Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator.html">TileAccessIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator.html">RegularTileAccessIterator</a>&lt;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#aeb76f211817868736e8815eb6f7012b2">Shape</a>, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a06cccd91595b54e68f5b165476f8af06">Element</a>, <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">Layout</a>,</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a1ebfde313d80e6908184304779bc2555">  101</a></span>&#160;                                                       kAdvanceRank, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a19e7da9a08c706739a51d2a887cb3dea">ThreadMap</a>&gt;;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;  <span class="comment">// Data members</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator.html">TileAccessIterator</a> address_iterator_;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a7786e21804d73da02c2fce5be1b36c99">  116</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a7786e21804d73da02c2fce5be1b36c99">RegularTileIterator</a>(<a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,  </div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;                      <span class="keywordtype">int</span> thread_id   </div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                      )</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;      : address_iterator_(ref, thread_id) {}</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#abc3fe2cf47e06eb85ea932b6ee462734">  123</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#abc3fe2cf47e06eb85ea932b6ee462734">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a5fb0596afba74c34a41db45b7792e38a">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    address_iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;  }</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a00da62dde4f9727452f281420cdaa7c8">  129</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a00da62dde4f9727452f281420cdaa7c8">operator++</a>() {</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    address_iterator_.add_tile_offset({0, 1});</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  }</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a0030d7f6d371fc11f707247586277dfe">  136</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a0030d7f6d371fc11f707247586277dfe">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    this-&gt;<a class="code" href="namespacecutlass.html#a1c7a9e66ca7b5dc7413ea3b8f349530a">operator++</a>();</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  }</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ab1881c4ce22d0404371ef6d81e074e4e">  145</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ab1881c4ce22d0404371ef6d81e074e4e">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a350da2a35cbb6b11479bd0154210aed1">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    address_iterator_.add_tile_offset(coord);</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  }</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#af6d73f3fc9fec9072ef5dbc3e146584f">  151</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#af6d73f3fc9fec9072ef5dbc3e146584f">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ad819cfb30d80acbf10a40c6bcee257e4">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#af29174087c689128e79bff5b56efb8a2">Index</a> pointer_offset) {</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    address_iterator_.set_iteration_index(0);</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    AccessType *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType *<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        <span class="keywordtype">int</span> access_idx = c + s * ThreadMap::Iterations::kContiguous;</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        frag_ptr[access_idx] = *(address_iterator_.get() + pointer_offset);</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160; 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   address_iterator_.set_iteration_index(0);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    AccessType <span class="keyword">const</span> *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType <span class="keyword">const </span>*<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        <span class="keywordtype">int</span> access_idx = c + s * ThreadMap::Iterations::kContiguous;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        *(address_iterator_.get() + pointer_offset) = frag_ptr[access_idx];</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        ++address_iterator_;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;      }</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    }</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  }</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a350093a136da4b217b96d12ff7f9a141">  191</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a350093a136da4b217b96d12ff7f9a141">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ad819cfb30d80acbf10a40c6bcee257e4">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  }</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;};</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Shape_, <span class="keyword">typename</span> Element_, <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;          <span class="keyword">typename</span> ThreadMap_, <span class="keywordtype">int</span> Alignment&gt;</div><div class="line"><a name="l00207"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html">  207</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    Shape_, Element_,</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    layout::ColumnMajorTensorOpMultiplicandCongruous&lt;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;        sizeof_bits&lt;Element_&gt;::value, int(128 / sizeof(Element_))&gt;,</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1, </div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="stringliteral">&quot;Specialization for column-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a0ae3789e8e4bc3f35085931e7252bcf5">  218</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a0ae3789e8e4bc3f35085931e7252bcf5">Shape</a> = Shape_;</div><div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a68e533d0b6ed84668fa38b7b7c35f71c">  219</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a68e533d0b6ed84668fa38b7b7c35f71c">Element</a> = Element_;</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous.html">layout::ColumnMajorTensorOpMultiplicandCongruous</a>&lt;</div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a25a1f7a57d49ecfe4834f80cd0bc2d78">  221</a></span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a>, int(128 / <span class="keyword">sizeof</span>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a68e533d0b6ed84668fa38b7b7c35f71c">Element</a>))&gt;;</div><div class="line"><a name="l00222"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a4524d56b78c64e97a881a8911179f011">  222</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00223"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a7e43846b92ea979f29ccc29806182c28">  223</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAlignment = Alignment;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a16ffd59718fc0840d097581b97d14249">  225</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a16ffd59718fc0840d097581b97d14249">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous.html#aa455da7f56592fdb70977b1cad108003">Layout::Index</a>;</div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a529df837eb7dd3c7a27d4554f9c2e285">  226</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a529df837eb7dd3c7a27d4554f9c2e285">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous.html#a37fd29e6b74010e9a3ae089d6a777724">Layout::LongIndex</a>;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;</div><div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a007efe97bbf452c2dedb9e2c5bcb6aa5">  228</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a141875168b3f6a0b03457431d5846a37">  229</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a141875168b3f6a0b03457431d5846a37">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;</div><div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#aa3790ca50b0d7e717cc45a542b5e0719">  231</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#aa3790ca50b0d7e717cc45a542b5e0719">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kRow, Shape::kColumn&gt;</a>, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a68e533d0b6ed84668fa38b7b7c35f71c">Element</a>,</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">layout::TensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;                                            int(128 / <span class="keyword">sizeof</span>(Element))&gt;,</div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#ab78b7aa5b373c24ad0b992822f000a08">  238</a></span>&#160;      (kAdvanceRank == 0 ? 0 : 1), ThreadMap_&gt;;</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div><div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#accac975dddce8f98f5cf7c0fd759f668">  243</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#accac975dddce8f98f5cf7c0fd759f668">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00254"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a87b0a8a59b5e46f5bcb761b1d8fd620e">  254</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a87b0a8a59b5e46f5bcb761b1d8fd620e">RegularTileIterator</a>(</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,                              </div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    <span class="keywordtype">int</span> thread_id                               </div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  ): iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;  }</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00263"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a45a8d66cafd1de3c5c13b4376bdf6f3a">  263</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a45a8d66cafd1de3c5c13b4376bdf6f3a">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a529df837eb7dd3c7a27d4554f9c2e285">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  }</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00269"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a5050e07de3bc0ea85d97459798a5a608">  269</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a5050e07de3bc0ea85d97459798a5a608">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a141875168b3f6a0b03457431d5846a37">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    iterator_.add_tile_offset({coord.row(), coord.column()});</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;  }</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00275"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#ac7cbbaf82a9a4a2dd785ec518bb5bef1">  275</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#ac7cbbaf82a9a4a2dd785ec518bb5bef1">operator++</a>() {</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    ++iterator_;</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  }</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00282"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a5634799d6999f62e5432240687df5b43">  282</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a5634799d6999f62e5432240687df5b43">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    ++iterator_;</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;  }</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00291"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a942804c558fbae42a0949affc63d377c">  291</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a942804c558fbae42a0949affc63d377c">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#accac975dddce8f98f5cf7c0fd759f668">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a16ffd59718fc0840d097581b97d14249">Index</a> pointer_offset) {</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;  }</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00297"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a94f074eab8510f8446a295698b734b01">  297</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a94f074eab8510f8446a295698b734b01">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#accac975dddce8f98f5cf7c0fd759f668">Fragment</a> &amp;frag) {</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    load_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;  }</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#ae70e762741505dbbe3140065263c95e0">  303</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#ae70e762741505dbbe3140065263c95e0">store_with_pointer_offset</a>(</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#accac975dddce8f98f5cf7c0fd759f668">Fragment</a> <span class="keyword">const</span> &amp;frag, </div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a16ffd59718fc0840d097581b97d14249">Index</a> pointer_offset) {</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    </div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;  }</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00312"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a320efa8c5c23f2136235958d33e62e88">  312</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a320efa8c5c23f2136235958d33e62e88">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#accac975dddce8f98f5cf7c0fd759f668">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  }</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;};</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Shape_, <span class="keyword">typename</span> Element_, <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;          <span class="keyword">typename</span> ThreadMap_, <span class="keywordtype">int</span> Alignment&gt;</div><div class="line"><a name="l00328"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html">  328</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    Shape_, Element_,</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    layout::RowMajorTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value,</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;                                                  int(128 / sizeof(Element_))&gt;,</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1, </div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    <span class="stringliteral">&quot;Specialization for row-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;</div><div class="line"><a name="l00339"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#af1984c77242026108096445366411e1c">  339</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#af1984c77242026108096445366411e1c">Shape</a> = Shape_;</div><div class="line"><a name="l00340"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#adba4413fa022de79d2a63253c0d2db04">  340</a></span>&#160;  <span class="keyword">using</span> Element = Element_;</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">layout::RowMajorTensorOpMultiplicandCongruous</a>&lt;</div><div class="line"><a name="l00342"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a504c8c39fa4c30fe8bcdf234b1522557">  342</a></span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a>, int(128 / <span class="keyword">sizeof</span>(Element))&gt;;</div><div class="line"><a name="l00343"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#af6ef404f2e7e8cfccba354d28cb36c97">  343</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00344"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a6ba4450e53e2a9b3499c068045863f5c">  344</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAlignment = Alignment;</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;</div><div class="line"><a name="l00346"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2284ad3a34f8db161542da80486e9ff1">  346</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2284ad3a34f8db161542da80486e9ff1">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html#a32c8623b9c3c8490263ea0af24a1410f">Layout::Index</a>;</div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a6f1bb0ed57fa72329fc5730202687986">  347</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a6f1bb0ed57fa72329fc5730202687986">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html#ad49467d9028288b0bb93dbf376ef573a">Layout::LongIndex</a>;</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;</div><div class="line"><a name="l00349"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#aa58205072ec53408d82d8a2fb009fad7">  349</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00350"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a0d479993b35a9b94956eba4eab127519">  350</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a0d479993b35a9b94956eba4eab127519">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2f811ddab40d59f16ee873d93a98cc95">  352</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2f811ddab40d59f16ee873d93a98cc95">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kColumn, Shape::kRow&gt;</a>, Element,</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;      layout::TensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value,</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;                                            int(128 / <span class="keyword">sizeof</span>(Element))&gt;,</div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#afbe000b168397b9954b6d104f3de5928">  359</a></span>&#160;      (kAdvanceRank == 0 ? 1 : 0), ThreadMap_&gt;;</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;</div><div class="line"><a name="l00364"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ac368f1f8ca17a35202185104fc9b9561">  364</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ac368f1f8ca17a35202185104fc9b9561">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8eff0cc46aa62dd1014eeaaccafdaec1">  375</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8eff0cc46aa62dd1014eeaaccafdaec1">RegularTileIterator</a>(</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,                              </div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;    <span class="keywordtype">int</span> thread_id                               </div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;  ): iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;  }</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a5177c56b9b5cf3b478a64ac30f9a1804">  384</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a5177c56b9b5cf3b478a64ac30f9a1804">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a6f1bb0ed57fa72329fc5730202687986">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;  }</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;  </div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00390"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a7bab4dc115f88b367928d3a7eb0e8381">  390</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a7bab4dc115f88b367928d3a7eb0e8381">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a0d479993b35a9b94956eba4eab127519">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;    iterator_.add_tile_offset({coord.column(), coord.row()});</div><div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;  }</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00396"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a12d739452a931da5ca64f477b5a3b9b2">  396</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a12d739452a931da5ca64f477b5a3b9b2">operator++</a>() {</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;    ++iterator_;</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;  }</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00404"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ada192262857266d074c7056221d78c25">  404</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ada192262857266d074c7056221d78c25">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;    ++iterator_;</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;  }</div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00414"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a4ed302ae25d8147ab80eae9391a6c09e">  414</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a4ed302ae25d8147ab80eae9391a6c09e">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ac368f1f8ca17a35202185104fc9b9561">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2284ad3a34f8db161542da80486e9ff1">Index</a> pointer_offset) {</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;  }</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00420"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8c35417d1631a9340bc6c94fd6a6b5d5">  420</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8c35417d1631a9340bc6c94fd6a6b5d5">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ac368f1f8ca17a35202185104fc9b9561">Fragment</a> &amp;frag) {</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;    load_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;  }</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00426"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a0d6821bead87c09ed72e44fe30883361">  426</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a0d6821bead87c09ed72e44fe30883361">store_with_pointer_offset</a>(</div><div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ac368f1f8ca17a35202185104fc9b9561">Fragment</a> <span class="keyword">const</span> &amp;frag, </div><div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2284ad3a34f8db161542da80486e9ff1">Index</a> pointer_offset) {</div><div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;    </div><div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;  }</div><div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00435"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8555d9152d5fc0b40b6404aecee40455">  435</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8555d9152d5fc0b40b6404aecee40455">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ac368f1f8ca17a35202185104fc9b9561">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;  }</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;};</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;</div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Shape_, <span class="keyword">typename</span> Element_, <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;          <span class="keyword">typename</span> ThreadMap_, <span class="keywordtype">int</span> Alignment, <span class="keywordtype">int</span> Crosswise&gt;</div><div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html">  451</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;Shape_, Element_,</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;                          layout::TensorOpMultiplicandCrosswise&lt;</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;                              sizeof_bits&lt;Element_&gt;::value, Crosswise&gt;,</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;                          AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;      AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;      <span class="stringliteral">&quot;Specialization for pitch-linear iterator may along advance along the &quot;</span></div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;      <span class="stringliteral">&quot;contiguous(rank=0) or strided(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;</div><div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ae010eff6f7ebcb8fe50a3d42c4ee2766">  461</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ae010eff6f7ebcb8fe50a3d42c4ee2766">Shape</a> = Shape_;</div><div class="line"><a name="l00462"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a5f09917ed02773d38afd8756f0da9bb8">  462</a></span>&#160;  <span class="keyword">using</span> Element = Element_;</div><div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">Layout</a> =</div><div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">layout::TensorOpMultiplicandCrosswise&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l00465"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#afd642156ffcdad62413eefd68e8fb783">  465</a></span>&#160;                                            Crosswise&gt;;</div><div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;</div><div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#afb070e84ad84b06918cc1a2335b99711">  467</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00468"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#aab74a608e4457924bf58da8a6a24c673">  468</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAlignment = Alignment;</div><div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;</div><div class="line"><a name="l00470"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a8cf9ea1e3e4e31ae93de613116ae0f63">  470</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a8cf9ea1e3e4e31ae93de613116ae0f63">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a4e8aa7fa89ae4ebd8afe284a9786df27">Layout::Index</a>;</div><div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a3829addb6edfaa8bd45df8788efc36a1">  471</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a3829addb6edfaa8bd45df8788efc36a1">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">Layout::LongIndex</a>;</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;</div><div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac9a6712eb3b75d76d3a989376a80f215">  473</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00474"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a1363fc676866669c56f1dd18586457c3">  474</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a1363fc676866669c56f1dd18586457c3">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;</div><div class="line"><a name="l00476"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#aec24f250d1ded443c631b85ed16f51f9">  476</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#aec24f250d1ded443c631b85ed16f51f9">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;</div><div class="line"><a name="l00479"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_039093927f4b1ee61538c569bf1ae4efd.html">  479</a></span>&#160;  <span class="keyword">struct </span>Detail {</div><div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_039093927f4b1ee61538c569bf1ae4efd.html#af010e2034edfaca50aaf1ada0fb0222d">  482</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAccessSizeInBits = 128;</div><div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;    <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(<a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a> * ThreadMap::kElementsPerAccess ==</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;                      kAccessSizeInBits,</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;                  <span class="stringliteral">&quot;This iterator requires a policy whose access size is 128bs&quot;</span>);</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;  };</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;</div><div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;  <span class="keyword">using</span> AccessType = Array&lt;Element, Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac020f463c891f79be706588944bcbf81">Fragment</a> =</div><div class="line"><a name="l00496"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac020f463c891f79be706588944bcbf81">  496</a></span>&#160;      Array&lt;Element, ThreadMap::Iterations::kCount * Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator.html">TileAccessIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator.html">RegularTileAccessIterator</a>&lt;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ae010eff6f7ebcb8fe50a3d42c4ee2766">Shape</a>, Element, <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">Layout</a>,</div><div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a88cc31fbba70b561a60474c9046f0381">  500</a></span>&#160;                                                       kAdvanceRank, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#aec24f250d1ded443c631b85ed16f51f9">ThreadMap</a>&gt;;</div><div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;</div><div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;  <span class="comment">// Data members</span></div><div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;</div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator.html">TileAccessIterator</a> address_iterator_;</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;</div><div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00513"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a7bed1f96a9586042f4b69771da9c67e4">  513</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a7bed1f96a9586042f4b69771da9c67e4">RegularTileIterator</a>(<a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,  </div><div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;                      <span class="keywordtype">int</span> thread_id   </div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;                      )</div><div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;      : address_iterator_(ref, thread_id) {}</div><div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;</div><div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00520"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a2bfbf77dedec3a1a801fae0591ce2da0">  520</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a2bfbf77dedec3a1a801fae0591ce2da0">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a3829addb6edfaa8bd45df8788efc36a1">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    address_iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;  }</div><div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;</div><div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00526"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a846ef606b664e9fcb164dd5d7fa5c66b">  526</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a846ef606b664e9fcb164dd5d7fa5c66b">operator++</a>() {</div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160; 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   <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;    this-&gt;<a class="code" href="namespacecutlass.html#a1c7a9e66ca7b5dc7413ea3b8f349530a">operator++</a>();</div><div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;</div><div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;  }</div><div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;</div><div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a71d37b094fd02b04c8f4f834152fb0a4">  542</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a71d37b094fd02b04c8f4f834152fb0a4">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a1363fc676866669c56f1dd18586457c3">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;    address_iterator_.add_tile_offset(coord);</div><div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;  }</div><div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;</div><div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00548"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a34e0c12a6dad7566c6278796f7600335">  548</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a34e0c12a6dad7566c6278796f7600335">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac020f463c891f79be706588944bcbf81">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a8cf9ea1e3e4e31ae93de613116ae0f63">Index</a> pointer_offset) {</div><div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;    address_iterator_.set_iteration_index(0);</div><div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    AccessType *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType *<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;</div><div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;        <span class="keywordtype">int</span> access_idx = c + s * ThreadMap::Iterations::kContiguous;</div><div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;        frag_ptr[access_idx] = *(address_iterator_.get() + pointer_offset);</div><div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;        ++address_iterator_;</div><div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;      }</div><div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;    }</div><div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;  }</div><div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;</div><div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00565"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a11a408f8f9bc815fbe91cfff58badb3a">  565</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a11a408f8f9bc815fbe91cfff58badb3a">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac020f463c891f79be706588944bcbf81">Fragment</a> &amp;frag) { load_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;</div><div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00569"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a5d618c16cd84cbb59df51758d27e00ec">  569</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a5d618c16cd84cbb59df51758d27e00ec">store_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac020f463c891f79be706588944bcbf81">Fragment</a> <span class="keyword">const</span> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a8cf9ea1e3e4e31ae93de613116ae0f63">Index</a> pointer_offset) {</div><div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;    address_iterator_.set_iteration_index(0);</div><div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;    AccessType <span class="keyword">const</span> *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType <span class="keyword">const </span>*<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;</div><div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;        <span class="keywordtype">int</span> access_idx = c + s * ThreadMap::Iterations::kContiguous;</div><div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;        *(address_iterator_.get() + pointer_offset) = frag_ptr[access_idx];</div><div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;        ++address_iterator_;</div><div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;      }</div><div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;    }</div><div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;  }</div><div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;</div><div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00586"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a1abed7b9615877108e7354305411e3e1">  586</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a1abed7b9615877108e7354305411e3e1">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac020f463c891f79be706588944bcbf81">Fragment</a> <span class="keyword">const</span> &amp;frag) { store_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;};</div><div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;</div><div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;</div><div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Shape_, <span class="keyword">typename</span> Element_, <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;          <span class="keyword">typename</span> ThreadMap_, <span class="keywordtype">int</span> Alignment, <span class="keywordtype">int</span> Crosswise&gt;</div><div class="line"><a name="l00600"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html">  600</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;Shape_, Element_,</div><div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;                          layout::ColumnMajorTensorOpMultiplicandCrosswise&lt;</div><div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;                              sizeof_bits&lt;Element_&gt;::value, Crosswise&gt;,</div><div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;                          AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;      AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;      <span class="stringliteral">&quot;Specialization for column-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;      <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;</div><div class="line"><a name="l00610"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a14406fdce19bae57d4e35c1be222cff0">  610</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a14406fdce19bae57d4e35c1be222cff0">Shape</a> = Shape_;</div><div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a726f380c99e03554635d78fcc9dbe160">  611</a></span>&#160;  <span class="keyword">using</span> Element = Element_;</div><div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt;</div><div class="line"><a name="l00613"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a0129cbff33d0d4ab7069b35518fca30f">  613</a></span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a>, Crosswise&gt;;</div><div class="line"><a name="l00614"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a73d92073145270d9b6924abef10911e6">  614</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00615"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#ab476f8fecc7e906c89e2639baf23b1c8">  615</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAlignment = Alignment;</div><div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;</div><div class="line"><a name="l00617"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a147b0e450c08ac0d819b53a63c7aa99e">  617</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a147b0e450c08ac0d819b53a63c7aa99e">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html#af9367fe9d6c5d95367d84dbab02dd0fe">Layout::Index</a>;</div><div class="line"><a name="l00618"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a604ec9e4aa8b5d3664eb8cd0b312027d">  618</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a604ec9e4aa8b5d3664eb8cd0b312027d">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html#a8e1f0b54a8c1b3f37df9ec0dd3548985">Layout::LongIndex</a>;</div><div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;</div><div class="line"><a name="l00620"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a6903750223009dc1a6769a4c582bfb07">  620</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00621"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#af767b2e0f27b8733fc419e9a37db5019">  621</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#af767b2e0f27b8733fc419e9a37db5019">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;</div><div class="line"><a name="l00623"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a1155d40ad6a927c9d67a351a3eb36c35">  623</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a1155d40ad6a927c9d67a351a3eb36c35">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;</div><div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;      layout::PitchLinearShape&lt;Shape::kRow, Shape::kColumn&gt;, Element,</div><div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">layout::TensorOpMultiplicandCrosswise&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;                                            Crosswise&gt;,</div><div class="line"><a name="l00630"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a121bd5763c7438baa9ec9d5b34b2a830">  630</a></span>&#160;      (kAdvanceRank == 0 ? 0 : 1), ThreadMap_&gt;;</div><div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;</div><div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00634"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a107ef5ee79fef84367e2e1e76696cdc9">  634</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a107ef5ee79fef84367e2e1e76696cdc9">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;</div><div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;</div><div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00643"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a0295a753f239eab411f239cd75e05a91">  643</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a0295a753f239eab411f239cd75e05a91">RegularTileIterator</a>(<a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,  </div><div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;                      <span class="keywordtype">int</span> thread_id   </div><div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;                      )</div><div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;      : iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {}</div><div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;</div><div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00650"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a1c62874efc5dc9ba670b38c9121ff1c1">  650</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a1c62874efc5dc9ba670b38c9121ff1c1">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a604ec9e4aa8b5d3664eb8cd0b312027d">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;  }</div><div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;</div><div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00656"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a18e847a8b96270d07ecd4bd11baf7a1f">  656</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a18e847a8b96270d07ecd4bd11baf7a1f">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#af767b2e0f27b8733fc419e9a37db5019">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;    iterator_.add_tile_offset({coord.row(), coord.column()});</div><div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;  }</div><div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;</div><div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00662"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#ac0b1a5dd492d6f10f30401404d1aa114">  662</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#ac0b1a5dd492d6f10f30401404d1aa114">operator++</a>() {</div><div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;    ++iterator_;</div><div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;  }</div><div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;</div><div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00669"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a8a572a900c7e06e8e8317e6c126f5a01">  669</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a8a572a900c7e06e8e8317e6c126f5a01">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;    ++iterator_;</div><div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;</div><div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;  }</div><div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;</div><div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00678"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a72adb1847eb7732b5a1e0b9cc23861ff">  678</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a72adb1847eb7732b5a1e0b9cc23861ff">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a107ef5ee79fef84367e2e1e76696cdc9">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a147b0e450c08ac0d819b53a63c7aa99e">Index</a> pointer_offset) {</div><div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;  }</div><div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;</div><div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00684"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a4ea359aced646d688f18c71aa4f39deb">  684</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a4ea359aced646d688f18c71aa4f39deb">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a107ef5ee79fef84367e2e1e76696cdc9">Fragment</a> &amp;frag) { load_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;</div><div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00688"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a48e167466362858e2daadc2980d0a010">  688</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a48e167466362858e2daadc2980d0a010">store_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a107ef5ee79fef84367e2e1e76696cdc9">Fragment</a> <span class="keyword">const</span> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a147b0e450c08ac0d819b53a63c7aa99e">Index</a> pointer_offset) {</div><div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;  }</div><div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;</div><div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00694"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#abbf54f03b1f4aaf3d17f3323d0cf5e11">  694</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#abbf54f03b1f4aaf3d17f3323d0cf5e11">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a107ef5ee79fef84367e2e1e76696cdc9">Fragment</a> <span class="keyword">const</span> &amp;frag) { store_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;};</div><div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;</div><div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;</div><div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Shape_, <span class="keyword">typename</span> Element_, <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;          <span class="keyword">typename</span> ThreadMap_, <span class="keywordtype">int</span> Alignment, <span class="keywordtype">int</span> Crosswise&gt;</div><div class="line"><a name="l00708"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html">  708</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;Shape_, Element_,</div><div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;                          layout::RowMajorTensorOpMultiplicandCrosswise&lt;</div><div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;                              sizeof_bits&lt;Element_&gt;::value, Crosswise&gt;,</div><div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;                          AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;      AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;      <span class="stringliteral">&quot;Specialization for row-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;      <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;</div><div class="line"><a name="l00718"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a979d746724009e9c3bf0be967dd41140">  718</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a979d746724009e9c3bf0be967dd41140">Shape</a> = Shape_;</div><div class="line"><a name="l00719"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a7b1ac8c3ceb0f89b981e9bdc51565f7d">  719</a></span>&#160;  <span class="keyword">using</span> Element = Element_;</div><div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt;</div><div class="line"><a name="l00721"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a8937ddf46d646bf0656d266a42c33860">  721</a></span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a>, Crosswise&gt;;</div><div class="line"><a name="l00722"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a902fc59ce3ceb86d99adc4924facaf5e">  722</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00723"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a8b8b1dd68dca629c60974bbb0bfeba99">  723</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAlignment = Alignment;</div><div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;</div><div class="line"><a name="l00725"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a309465f4c443c5f54e4772226f54bd3c">  725</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a309465f4c443c5f54e4772226f54bd3c">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html#afb16d769e699fe88e09420cce6096d86">Layout::Index</a>;</div><div class="line"><a name="l00726"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a53457007895b6b8367f2866523a28da2">  726</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a53457007895b6b8367f2866523a28da2">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html#a85b214a913b534fc9cc5366664a414e3">Layout::LongIndex</a>;</div><div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;</div><div class="line"><a name="l00728"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a2d15f01b4ac22bb57e15fc932dc93e07">  728</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00729"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a435a2ce6076ef5e3573a9dc1ad2c4281">  729</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a435a2ce6076ef5e3573a9dc1ad2c4281">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160;</div><div class="line"><a name="l00731"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a492b349dcf9aa03b4edf03de1ed32bc4">  731</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a492b349dcf9aa03b4edf03de1ed32bc4">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;</div><div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;      layout::PitchLinearShape&lt;Shape::kColumn, Shape::kRow&gt;, Element,</div><div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">layout::TensorOpMultiplicandCrosswise&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;                                            Crosswise&gt;,</div><div class="line"><a name="l00738"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ad18d16103625d26cc2211146e685ea41">  738</a></span>&#160;      (kAdvanceRank == 0 ? 1 : 0), ThreadMap_&gt;;</div><div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;</div><div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00742"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ac92fd47b222851341837f342795af48b">  742</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ac92fd47b222851341837f342795af48b">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;</div><div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;</div><div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00751"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a55a9941eebde58406226a94aab1cdc37">  751</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a55a9941eebde58406226a94aab1cdc37">RegularTileIterator</a>(<a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,  </div><div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;                      <span class="keywordtype">int</span> thread_id   </div><div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;                      )</div><div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;      : iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {}</div><div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;</div><div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00758"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ad25094cb878109ad0cbb4e3f3abe3060">  758</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ad25094cb878109ad0cbb4e3f3abe3060">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a53457007895b6b8367f2866523a28da2">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;  }</div><div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;</div><div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00764"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aa7e1961c1fe4d596696917bc5b5f07c5">  764</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aa7e1961c1fe4d596696917bc5b5f07c5">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a435a2ce6076ef5e3573a9dc1ad2c4281">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;    iterator_.add_tile_offset({coord.column(), coord.row()});</div><div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;  }</div><div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;</div><div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00770"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a808bcd36ec15443c91fb020b5b2ad9e1">  770</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a808bcd36ec15443c91fb020b5b2ad9e1">operator++</a>() {</div><div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;    ++iterator_;</div><div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;  }</div><div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;</div><div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00777"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a8ef7a6eb5d7c1059c0d9124902c86a3f">  777</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a8ef7a6eb5d7c1059c0d9124902c86a3f">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;    ++iterator_;</div><div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;</div><div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;  }</div><div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;</div><div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00786"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a9c399ed355568d43f0a660553e201d7d">  786</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a9c399ed355568d43f0a660553e201d7d">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ac92fd47b222851341837f342795af48b">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a309465f4c443c5f54e4772226f54bd3c">Index</a> pointer_offset) {</div><div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160;  }</div><div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;</div><div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00792"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aa3330bb8ca6828a81600649e7824e80a">  792</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aa3330bb8ca6828a81600649e7824e80a">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ac92fd47b222851341837f342795af48b">Fragment</a> &amp;frag) { load_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;</div><div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00796"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a252d48a56c84ed65570a5056fde66a6a">  796</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a252d48a56c84ed65570a5056fde66a6a">store_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ac92fd47b222851341837f342795af48b">Fragment</a> <span class="keyword">const</span> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a309465f4c443c5f54e4772226f54bd3c">Index</a> pointer_offset) {</div><div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;  }</div><div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;</div><div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00802"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aac3a75d8771bd6389e8c6cdf7f68a156">  802</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aac3a75d8771bd6389e8c6cdf7f68a156">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ac92fd47b222851341837f342795af48b">Fragment</a> <span class="keyword">const</span> &amp;frag) { store_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;};</div><div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;</div><div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;} <span class="comment">// namespace threadblock</span></div><div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;} <span class="comment">// namespace transform</span></div><div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a942804c558fbae42a0949affc63d377c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a942804c558fbae42a0949affc63d377c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:291</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous_html_a37fd29e6b74010e9a3ae089d6a777724"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous.html#a37fd29e6b74010e9a3ae089d6a777724">cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:434</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_abc3fe2cf47e06eb85ea932b6ee462734"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#abc3fe2cf47e06eb85ea932b6ee462734">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:123</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a604ec9e4aa8b5d3664eb8cd0b312027d"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a604ec9e4aa8b5d3664eb8cd0b312027d">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:618</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a18e847a8b96270d07ecd4bd11baf7a1f"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a18e847a8b96270d07ecd4bd11baf7a1f">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:656</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_aec24f250d1ded443c631b85ed16f51f9"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#aec24f250d1ded443c631b85ed16f51f9">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:476</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise_html_a4e8aa7fa89ae4ebd8afe284a9786df27"><div class="ttname"><a href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a4e8aa7fa89ae4ebd8afe284a9786df27">cutlass::layout::TensorOpMultiplicandCrosswise::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:640</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a147b0e450c08ac0d819b53a63c7aa99e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a147b0e450c08ac0d819b53a63c7aa99e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:617</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_ad819cfb30d80acbf10a40c6bcee257e4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ad819cfb30d80acbf10a40c6bcee257e4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, ThreadMap::Iterations::kCount *Layout::kElementsPerAccess &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:97</div></div>
<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a5177c56b9b5cf3b478a64ac30f9a1804"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a5177c56b9b5cf3b478a64ac30f9a1804">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:384</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a8c35417d1631a9340bc6c94fd6a6b5d5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8c35417d1631a9340bc6c94fd6a6b5d5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:420</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a492b349dcf9aa03b4edf03de1ed32bc4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a492b349dcf9aa03b4edf03de1ed32bc4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:731</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a14406fdce19bae57d4e35c1be222cff0"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a14406fdce19bae57d4e35c1be222cff0">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:610</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1PitchLinearCoord_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1PitchLinearCoord.html">cutlass::layout::PitchLinearCoord</a></div><div class="ttdoc">Coordinate in pitch-linear space. </div><div class="ttdef"><b>Definition:</b> pitch_linear.h:52</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a309465f4c443c5f54e4772226f54bd3c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a309465f4c443c5f54e4772226f54bd3c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:725</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a529df837eb7dd3c7a27d4554f9c2e285"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a529df837eb7dd3c7a27d4554f9c2e285">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:226</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_ae010eff6f7ebcb8fe50a3d42c4ee2766"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ae010eff6f7ebcb8fe50a3d42c4ee2766">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:461</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_ad25094cb878109ad0cbb4e3f3abe3060"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ad25094cb878109ad0cbb4e3f3abe3060">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:758</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous_html_aa455da7f56592fdb70977b1cad108003"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous.html#aa455da7f56592fdb70977b1cad108003">cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:431</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a6f1bb0ed57fa72329fc5730202687986"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a6f1bb0ed57fa72329fc5730202687986">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:347</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_ac020f463c891f79be706588944bcbf81"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#ac020f463c891f79be706588944bcbf81">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, ThreadMap::Iterations::kCount *Layout::kElementsPerAccess &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:496</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous_html_a32c8623b9c3c8490263ea0af24a1410f"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html#a32c8623b9c3c8490263ea0af24a1410f">cutlass::layout::RowMajorTensorOpMultiplicandCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:536</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:734</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a141875168b3f6a0b03457431d5846a37"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a141875168b3f6a0b03457431d5846a37">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:229</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html_ac7db3ca62ab1dfe0d3ea08bcadbc9352"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">cutlass::TensorRef::data</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Element * data() const </div><div class="ttdoc">Returns the pointer to referenced data. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:254</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous_html_ad49467d9028288b0bb93dbf376ef573a"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html#ad49467d9028288b0bb93dbf376ef573a">cutlass::layout::RowMajorTensorOpMultiplicandCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:539</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_ac368f1f8ca17a35202185104fc9b9561"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ac368f1f8ca17a35202185104fc9b9561">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:364</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a2f811ddab40d59f16ee873d93a98cc95"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2f811ddab40d59f16ee873d93a98cc95">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:352</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a136e0012cdb6111b47e49e2ba64ac737"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a136e0012cdb6111b47e49e2ba64ac737">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:168</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_html_ab498476001a090017735113863e28898"><div class="ttname"><a href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html#ab498476001a090017735113863e28898">cutlass::layout::TensorOpMultiplicandCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:221</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a2bfbf77dedec3a1a801fae0591ce2da0"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a2bfbf77dedec3a1a801fae0591ce2da0">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:520</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a1abed7b9615877108e7354305411e3e1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a1abed7b9615877108e7354305411e3e1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:586</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a7bab4dc115f88b367928d3a7eb0e8381"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a7bab4dc115f88b367928d3a7eb0e8381">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:390</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a107ef5ee79fef84367e2e1e76696cdc9"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a107ef5ee79fef84367e2e1e76696cdc9">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:634</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a435a2ce6076ef5e3573a9dc1ad2c4281"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a435a2ce6076ef5e3573a9dc1ad2c4281">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:729</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCongruous.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:422</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a8eff0cc46aa62dd1014eeaaccafdaec1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8eff0cc46aa62dd1014eeaaccafdaec1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:375</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise_html_afb16d769e699fe88e09420cce6096d86"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html#afb16d769e699fe88e09420cce6096d86">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:843</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a2284ad3a34f8db161542da80486e9ff1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a2284ad3a34f8db161542da80486e9ff1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:346</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise_html_af9367fe9d6c5d95367d84dbab02dd0fe"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html#af9367fe9d6c5d95367d84dbab02dd0fe">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:742</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a8a572a900c7e06e8e8317e6c126f5a01"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a8a572a900c7e06e8e8317e6c126f5a01">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:669</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:835</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a8555d9152d5fc0b40b6404aecee40455"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a8555d9152d5fc0b40b6404aecee40455">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:435</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_accac975dddce8f98f5cf7c0fd759f668"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#accac975dddce8f98f5cf7c0fd759f668">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:243</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:213</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a2c521b37a48b6b5cff910c1b137c464a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a2c521b37a48b6b5cff910c1b137c464a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:533</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a320efa8c5c23f2136235958d33e62e88"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a320efa8c5c23f2136235958d33e62e88">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:312</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a979d746724009e9c3bf0be967dd41140"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a979d746724009e9c3bf0be967dd41140">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:718</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_af29174087c689128e79bff5b56efb8a2"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#af29174087c689128e79bff5b56efb8a2">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:70</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a55a9941eebde58406226a94aab1cdc37"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a55a9941eebde58406226a94aab1cdc37">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:751</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a1155d40ad6a927c9d67a351a3eb36c35"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a1155d40ad6a927c9d67a351a3eb36c35">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:623</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a0ae3789e8e4bc3f35085931e7252bcf5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a0ae3789e8e4bc3f35085931e7252bcf5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:218</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a0030d7f6d371fc11f707247586277dfe"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a0030d7f6d371fc11f707247586277dfe">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:136</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_html_aa04ef0da8d8a859c2b7bb08cb3752d3d"><div class="ttname"><a href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html#aa04ef0da8d8a859c2b7bb08cb3752d3d">cutlass::layout::TensorOpMultiplicandCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:224</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_ab1881c4ce22d0404371ef6d81e074e4e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#ab1881c4ce22d0404371ef6d81e074e4e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:145</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1PitchLinearShape_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1PitchLinearShape.html">cutlass::layout::PitchLinearShape</a></div><div class="ttdoc">Template defining a shape used by pitch-linear operators. </div><div class="ttdef"><b>Definition:</b> pitch_linear.h:43</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_ada192262857266d074c7056221d78c25"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#ada192262857266d074c7056221d78c25">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:404</div></div>
<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a00da62dde4f9727452f281420cdaa7c8"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a00da62dde4f9727452f281420cdaa7c8">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:129</div></div>
<div class="ttc" id="namespacecutlass_html_a1c7a9e66ca7b5dc7413ea3b8f349530a"><div class="ttname"><a href="namespacecutlass.html#a1c7a9e66ca7b5dc7413ea3b8f349530a">cutlass::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE half_t &amp; operator++(half_t &amp;lhs)</div><div class="ttdef"><b>Definition:</b> half.h:694</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a5fb0596afba74c34a41db45b7792e38a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a5fb0596afba74c34a41db45b7792e38a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:71</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_aeb76f211817868736e8815eb6f7012b2"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#aeb76f211817868736e8815eb6f7012b2">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:62</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise_html_a85b214a913b534fc9cc5366664a414e3"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html#a85b214a913b534fc9cc5366664a414e3">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:846</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a4ed302ae25d8147ab80eae9391a6c09e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a4ed302ae25d8147ab80eae9391a6c09e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:414</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html_a191e88bc0fb310be655d700e937ab97c"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">cutlass::TensorRef::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Stride stride() const </div><div class="ttdoc">Returns the layout object&amp;#39;s stride vector. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:277</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a8cf9ea1e3e4e31ae93de613116ae0f63"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a8cf9ea1e3e4e31ae93de613116ae0f63">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:470</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_ac7cbbaf82a9a4a2dd785ec518bb5bef1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#ac7cbbaf82a9a4a2dd785ec518bb5bef1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:275</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise_html_a8e1f0b54a8c1b3f37df9ec0dd3548985"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html#a8e1f0b54a8c1b3f37df9ec0dd3548985">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:745</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a252d48a56c84ed65570a5056fde66a6a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a252d48a56c84ed65570a5056fde66a6a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:796</div></div>
<div class="ttc" id="structcutlass_1_1sizeof__bits_html"><div class="ttname"><a href="structcutlass_1_1sizeof__bits.html">cutlass::sizeof_bits</a></div><div class="ttdoc">Defines the size of an element in bits. </div><div class="ttdef"><b>Definition:</b> numeric_types.h:42</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a68e533d0b6ed84668fa38b7b7c35f71c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a68e533d0b6ed84668fa38b7b7c35f71c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:219</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a45a8d66cafd1de3c5c13b4376bdf6f3a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a45a8d66cafd1de3c5c13b4376bdf6f3a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:263</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a808bcd36ec15443c91fb020b5b2ad9e1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a808bcd36ec15443c91fb020b5b2ad9e1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:770</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a0d479993b35a9b94956eba4eab127519"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a0d479993b35a9b94956eba4eab127519">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:350</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a12d739452a931da5ca64f477b5a3b9b2"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a12d739452a931da5ca64f477b5a3b9b2">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:396</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a72adb1847eb7732b5a1e0b9cc23861ff"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a72adb1847eb7732b5a1e0b9cc23861ff">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:678</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a1c62874efc5dc9ba670b38c9121ff1c1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a1c62874efc5dc9ba670b38c9121ff1c1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:650</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef&lt; Element, Layout &gt;</a></div></div>
<div class="ttc" id="regular__tile__access__iterator__tensor__op_8h_html"><div class="ttname"><a href="regular__tile__access__iterator__tensor__op_8h.html">regular_tile_access_iterator_tensor_op.h</a></div><div class="ttdoc">Templates implementing computing the addresses of storing of tiles from pitch-linear rank=2 tensors...</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a06cccd91595b54e68f5b165476f8af06"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a06cccd91595b54e68f5b165476f8af06">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:63</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_af767b2e0f27b8733fc419e9a37db5019"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#af767b2e0f27b8733fc419e9a37db5019">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:621</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a19e7da9a08c706739a51d2a887cb3dea"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a19e7da9a08c706739a51d2a887cb3dea">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:76</div></div>
<div class="ttc" id="cutlass_8h_html_a28c2443a142676d3d71effdae1a986b1"><div class="ttname"><a href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="ttdeci">#define CUTLASS_HOST_DEVICE</div><div class="ttdef"><b>Definition:</b> cutlass.h:89</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a48e167466362858e2daadc2980d0a010"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a48e167466362858e2daadc2980d0a010">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:688</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_html"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">cutlass::transform::threadblock::RegularTileIterator</a></div><div class="ttdef"><b>Definition:</b> regular_tile_iterator.h:50</div></div>
<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a8ef7a6eb5d7c1059c0d9124902c86a3f"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a8ef7a6eb5d7c1059c0d9124902c86a3f">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:777</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_ae70e762741505dbbe3140065263c95e0"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#ae70e762741505dbbe3140065263c95e0">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:303</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a9c399ed355568d43f0a660553e201d7d"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a9c399ed355568d43f0a660553e201d7d">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:786</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise_html_a07de92ffadfe255537479c37b04cde6f"><div class="ttname"><a href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">cutlass::layout::TensorOpMultiplicandCrosswise::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:643</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a350da2a35cbb6b11479bd0154210aed1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a350da2a35cbb6b11479bd0154210aed1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:74</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_a0d6821bead87c09ed72e44fe30883361"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#a0d6821bead87c09ed72e44fe30883361">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:426</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_aa3790ca50b0d7e717cc45a542b5e0719"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#aa3790ca50b0d7e717cc45a542b5e0719">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:231</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a5d618c16cd84cbb59df51758d27e00ec"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a5d618c16cd84cbb59df51758d27e00ec">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:569</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a7bed1f96a9586042f4b69771da9c67e4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a7bed1f96a9586042f4b69771da9c67e4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:513</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a4ea359aced646d688f18c71aa4f39deb"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a4ea359aced646d688f18c71aa4f39deb">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:684</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a6fa53d2459f78c9e292be67c6e39a192"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a6fa53d2459f78c9e292be67c6e39a192">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:174</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator_html"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileAccessIterator.html">cutlass::transform::threadblock::RegularTileAccessIterator&lt; Shape, Element, Layout, kAdvanceRank, ThreadMap &gt;</a></div></div>
<div class="ttc" id="regular__tile__iterator_8h_html"><div class="ttname"><a href="regular__tile__iterator_8h.html">regular_tile_iterator.h</a></div><div class="ttdoc">Templates implementing storing of tiles from pitch-linear rank=2 tensors. </div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_aac3a75d8771bd6389e8c6cdf7f68a156"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aac3a75d8771bd6389e8c6cdf7f68a156">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:802</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a11a408f8f9bc815fbe91cfff58badb3a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a11a408f8f9bc815fbe91cfff58badb3a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:565</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a5050e07de3bc0ea85d97459798a5a608"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a5050e07de3bc0ea85d97459798a5a608">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:269</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a350093a136da4b217b96d12ff7f9a141"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a350093a136da4b217b96d12ff7f9a141">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:191</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a71d37b094fd02b04c8f4f834152fb0a4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a71d37b094fd02b04c8f4f834152fb0a4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:542</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a16ffd59718fc0840d097581b97d14249"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a16ffd59718fc0840d097581b97d14249">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:225</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a846ef606b664e9fcb164dd5d7fa5c66b"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a846ef606b664e9fcb164dd5d7fa5c66b">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:526</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_a53457007895b6b8367f2866523a28da2"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#a53457007895b6b8367f2866523a28da2">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:726</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a3829addb6edfaa8bd45df8788efc36a1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a3829addb6edfaa8bd45df8788efc36a1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:471</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a5634799d6999f62e5432240687df5b43"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a5634799d6999f62e5432240687df5b43">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:282</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_aa3330bb8ca6828a81600649e7824e80a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aa3330bb8ca6828a81600649e7824e80a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:792</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_ac0b1a5dd492d6f10f30401404d1aa114"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#ac0b1a5dd492d6f10f30401404d1aa114">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:662</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:632</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_ac92fd47b222851341837f342795af48b"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#ac92fd47b222851341837f342795af48b">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:742</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a34e0c12a6dad7566c6278796f7600335"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a34e0c12a6dad7566c6278796f7600335">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:548</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40_html_aa7e1961c1fe4d596696917bc5b5f07c5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a31b454d9c930525c1e9ca406a514f40.html#aa7e1961c1fe4d596696917bc5b5f07c5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:764</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_a7786e21804d73da02c2fce5be1b36c99"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#a7786e21804d73da02c2fce5be1b36c99">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:116</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_a0295a753f239eab411f239cd75e05a91"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#a0295a753f239eab411f239cd75e05a91">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:643</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43_html_a1363fc676866669c56f1dd18586457c3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0197fef2242a3454a7d1cebe61aee28b43.html#a1363fc676866669c56f1dd18586457c3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:474</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a87b0a8a59b5e46f5bcb761b1d8fd620e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a87b0a8a59b5e46f5bcb761b1d8fd620e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:254</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3_html_a94f074eab8510f8446a295698b734b01"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_017982f81d4ef592e19c8427de2ea933a3.html#a94f074eab8510f8446a295698b734b01">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:297</div></div>
<div class="ttc" id="structcutlass_1_1MatrixCoord_html"><div class="ttname"><a href="structcutlass_1_1MatrixCoord.html">cutlass::MatrixCoord</a></div><div class="ttdef"><b>Definition:</b> matrix_coord.h:39</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761_html_abbf54f03b1f4aaf3d17f3323d0cf5e11"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_010889a732373c350de9b9a9f6c13cd761.html#abbf54f03b1f4aaf3d17f3323d0cf5e11">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:694</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5_html_af1984c77242026108096445366411e1c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01c20d35180520077a5a09b1e33543c1a5.html#af1984c77242026108096445366411e1c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:339</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c_html_af6d73f3fc9fec9072ef5dbc3e146584f"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01efd5013a2503d6567e2bf6b40c97360c.html#af6d73f3fc9fec9072ef5dbc3e146584f">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op.h:151</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm75.h:527</div></div>
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